NVIDIA B200 SXM6 192GB HBM3e – Dell PowerEdge XE9712

The NVIDIA B200 SXM6 192GB HBM3e, integrated into the Dell PowerEdge XE9712 platform, represents NVIDIA's Blackwell architecture GPU designed for the most demanding enterprise AI training, inference, and high-performance computing workloads. Built on the second-generation Transformer Engine and featuring NVLink 5.0 interconnect technology, the B200 delivers a substantial leap in compute density and memory bandwidth compared to its predecessors, enabling organizations to train and deploy frontier-scale AI models with greater efficiency and throughput.

The B200 SXM6 form factor carries 192GB of HBM3e memory, providing 8TB/s of memory bandwidth per GPU — a critical requirement for large language model training, multimodal AI, and scientific simulation workloads that demand both high capacity and extreme data movement rates. The OAM (OCP Accelerator Module) mechanical standard used in this configuration ensures compatibility with high-density, open-standards-based rack infrastructure, while the SXM6 interface enables tight NVLink fabric integration within the PowerEdge XE9712 system.

The Dell PowerEdge XE9712 is a purpose-built rack platform designed to house and operate multiple B200 OAM modules in a fully integrated, datacenter-ready configuration with enterprise-grade thermal management, power delivery, and systems management through iDRAC. This combination is engineered for hyperscale AI infrastructure deployments, cloud service provider environments, and enterprise AI factories requiring maximum GPU compute density per rack unit.

Ideal for

• Large-scale generative AI and large language model (LLM) training requiring high-capacity, high-bandwidth GPU memory across multi-node clusters
• Enterprise inference serving for real-time and batch AI applications demanding low latency and high throughput at scale
• High-performance computing (HPC) simulations in scientific research, computational fluid dynamics, and molecular dynamics
• Multimodal AI development encompassing vision-language models, video generation, and foundation model fine-tuning
• AI factory and cloud service provider infrastructure requiring maximum GPU compute density and energy-proportional performance
• Digital twin and physics-based simulation workloads leveraging FP8 and mixed-precision compute capabilities of the Blackwell architecture

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.